Launching today
hrefStack
Research, write & publish SEO content on autopilot
58 followers
Research, write & publish SEO content on autopilot
58 followers
hrefStack is an AI SEO tool that does the job of a full content team. One agent finds keywords worth ranking for, writes articles built for Google, AI Mode and ChatGPT, publishes them straight to WordPress, Shopify, Ghost, Wix, Drupal or Sanity, and then tracks results in Google Search Console. It is full SEO automation from start to finish. If you are comparing the best AI SEO tools in 2026, start with the one that replaces the whole workflow.
Hi Product Hunt, I'm Arsalan 👋
I come from data science and analytics. I also build SaaS and mobile apps. I have shipped a lot of products.
Here is what the last 12 months taught me:
Building is the easy part. Distribution is the hard part. 😅
Here is what I struggled with:
No budget for a content marketer
One good article took a full day
AI writers only give you a draft
Publishing to the blog was manual work
No idea which articles actually worked
Traffic stayed flat while I kept building
So I built an AI agent to do the whole job. That became hrefStack. 🚀
What it does for you:
✅ Finds keywords worth writing about
✅ Picks topics with traffic and low competition
✅ Writes full SEO articles, ready to go
✅ Makes articles that ChatGPT and Perplexity quote
✅ Schedules content so your blog stays active
✅ Tracks rankings with Google Search Console
How hrefStack is different:
🔄 Most tools stop at "published." hrefStack shows real results
🌐 Built for Google rankings and AI citations, both
🔌 Publishes straight to WordPress / Shopify / Ghost / Wix / Drupal / Sanity
🎁 Launch offer: first 100 Product Hunters get 30% off the first month. Code: PRODUCTHUNT
I would love to hear how you scale your apps. And I want your honest feedback, good or bad. 🙏
I am here all day. I will answer every comment.
Thank you Product Hunters. This community gives indie builders like me a chance. ❤️
P.S. Drop a comment below: what is the hardest part of growing your product? 💬
@arslandvs For me it's staying visible without burning all my time on it. Building features feels productive, but writing and publishing content consistently to actually get found is the part that quietly falls off the list every week. Congrats on the launch, the "AI writers only give you a draft" point especially hit home, that's exactly the gap between having content and having a system that keeps working after you publish it.
When the keyword agent finds several opportunities around the same topic, how does hrefStack avoid creating articles that compete with each other? Managing keyword overlap seems just as important as finding new keywords especially as a site grows.
@klara_holmgren Love this question 😄 We treat clustering as a first-class step, related keywords roll up into a single target page by shared intent, and the agent cross-references your published library before creating anything new. That's how it avoids two articles fighting for the same term.
I definitely relate to the distribution struggle, publishing usually falls to the bottom of the list when we are busy shipping code. I noticed hrefStack handles everything from keyword research to publishing on Ghost/WordPress.
Does the agent also monitor when old rankings start to dip and suggest updates to those existing posts?
Refreshing proven content is usually a huge lever compared to just starting new drafts from scratch.
BTW Good luck with the launch, Arsalan!
Spot on Aiden, refreshing winners beats starting from scratch 🙏
Catching ranking dips and flagging posts to update is next on our roadmap,
building this around exactly this kind of feedback.
GSC integration is a good feature. Most AI writers just toss the post onto the blog and hope for the best but the actual performance data makes a difference for long-term strategy. I am curious about the 'autopilot' aspect if hrefStack sees an article start to rank for a new keyword I didn't target does the agent suggest a new post to build a cluster around that?
That would be a good time-saver for my workflow.
@oskar_nyberg Thanks Oskar 🙌
You nailed the vision, closing the loop from GSC data back into new content is the whole point of the autopilot.
If an article starts ranking for something you didn't target, having the agent flag it and suggest a cluster post is exactly where we're headed.
Give me a few days and I'll get this in front of you, comments like yours move it right up the list.
The hardest part is that reach gets decided before you write anything.
I have been running our distribution by hand this past week and the numbers are blunt. Five comments, comparable effort, same account, same voice. One landed 221 views. The others landed 15, 12 and 9. Nothing about the writing explains that gap. The thread I picked does.
It works in the other direction too. Nine comments inside one busy megathread came out at net minus 3. Twelve everywhere else came out at plus 9. Same person, same week, opposite sign.
That is the part I care about in what we built. Choosing the keyword is the placement decision and it happens before a single word exists. Publishing is downstream of it.
What is the harder half for you, working out where to show up, or keeping it going once you have?
@abdullah_javaid3 Both, honestly, but keeping it going is the one that quietly kills momentum. Finding a good thread is a one-time win; showing up consistently for months is what most people (including past-me) give up on. That's actually the itch behind hrefStack - I didn't want the "where to show up" decision to eat my whole week every time, so the agent handles the keyword/placement research continuously instead of me doing it in a burst and then going quiet for a month. Curious if you've found any way to systemize the "keep showing up" half, or is it still manual grinding for you?
@azan_ibrar Still manual, and I stopped trying to systemize the wrong half.
The part I automated is not the writing, it is the scoring. Every room I post in gets a running score, and after about ten comments the pattern stops being arguable. One room sat at plus five and never once went negative. Another sat at minus four with the same effort and the same person writing.
So showing up consistently is not the discipline problem people treat it as. It gets cheap once you have deleted the rooms that were never going to pay. I cut two last week and the daily output went down while the return went up.
What I have no answer for is the first ten comments in a new room. The score does not exist yet and you are paying to find out.
@abdullah_javaid3 @tehreem_fatima5 Totally agree, once the placement is right everything downstream gets easier. That's honestly the part I like most about hrefStack, it keeps doing that keyword and placement research continuously in the background so I'm not stuck redoing that work every few weeks by hand.
One thing that would really round it out for me is a quick built-in readability score or tone slider before publishing, so I can tweak whether the AI leans more technical or more conversational depending on the audience I am targeting.
@huriyeqknk Thank you for giving it a real spin and sharing this 😄
A readability score and tone slider is genuinely useful, noting it down.
This is exactly how we want to shape the product, so keep telling us what would make hrefStack feel like a true work buddy.
Finally gave hrefStack a shot this morning and the GSC tracking inside the dashboard is genuinely handy, saved me from flipping between tabs.
@omur_topra16353 Really glad that landed 🙌 Cutting the tab-switching was the whole reason we built it. What would you want to see in the dashboard next?